Scaling threat hunting maturity on Datadog, from atomic indicator searches to building agentic assistants, does not happen overnight. A thorough maturation plan is required to ensure people, processes, and technology all work toward a common goal. Datadog offers native features at every level, from unorganized to industry-leading, to move security operations from reactive to proactive and from manual to AI-enabled.

This session walks through how to successfully navigate this journey with the Datadog platform, outlining the features and competencies needed at each level of maturity. The session begins at the start of the journey: forming hypotheses and navigating Log Explorer, then moves through Historical Security Signal Searches and Workflow Automation for scaling at enterprise scale, and concludes with building and orchestrating custom Threat Intelligence and Threat Hunting Agents with Agent Builder. The session addresses real growth opportunities for real-world problems, based on RapDev’s industry-leading experience with security operations on the Datadog platform.

Attendees will learn how to move a SOC from alert-chasing to disciplined, scalable threat hunting by applying a proven maturity framework and translating each level into concrete data, process, and automation upgrades, including the specific Datadog capabilities to adopt next.